Images, Video &
Computer Vision

We train machines to successfully examine the real and virtual world via images and photos.
This enables the collection of huge chunks of information at a faster rate than humans can on their own.

Our Experts Power Images,
Video & Computer Vision By

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    Image Classification

    Fullestop helps in categorizing the images at an enterprise level. Our machine learning experts make the labelling of everything swift and error-free. We help you classify images on the basis of content type, quality, and basically any other custom criteria chosen by you.

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    Object Detection

    The basic requirement of a computer vision machine project is the in-image labels. The techniques used for object detection include bounding boxes, line labels, polygons, and quality checks for getting the precise labels for sure; all of which are guaranteed at Fullestop.

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    Object Tagging

    Fullestop offers a best-in-class solution to identify multiple classes and instances of various objects. Fullestop annotators work by selecting a class from the relation created by selecting a class curated by you and then labelling each instance according to your instructions. Our highly experienced professionals handle hundreds of such classes that enable your images to get labelled according to individual requirements.

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    Semantic Segmentation

    The semantic segmentation technique of Fullestop assists in labelling each pixel of every single image to provide a detailed understanding of images that solves the basic computer vision problem into the image segmentation deep learning.

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    Machine Learning Assisted Video Object Tracking

    The video object tracking technique of Fullestop boosts the machine learning model by labelling the videos 100 times faster than human annotators. The human annotators work by labelling the objects in the initial frame and then continue labelling it in the subsequent frames. The accuracy completely depends on the changes made by the human annotators while the objects are in motion. However, Fullestop solutions work by relabelling each object to achieve the level of precision.

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    Landmark Detection

    The landmark detection technique of deep machine learning helps detect key landmarks on the object and tracks them. It gives you the ability to train your machine models on key areas in imagery. We also provide aggregation and extremely powerful quality controls that ensure your landmark detection jobs derive the best training data possible.

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    Landmark Tagging

    The landmark tagging technique of Fullestop does wonders by identifying the spots and labelling them accordingly to get the landmarks on the object. This tagging feature is used in face recognition systems and robotics as well. Our dedicated team of expert professionals help you train your machine learning models on the key points to multiple classes from your set of interrelated characteristics.

We can annotate the training data that makes your
computer vision projects a success.
Reach out and we’ll get you started.

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